Yongjian Wu
40 papers · 2016–2025 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (58) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π±
Topic Pioneer
π§¬
Topic Evolution
π€
Dynamic Duo
(34)
π
Renaissance Researcher
(5)
β‘
Prolific Year Β· Productive
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Trend Setter
ποΈ
Keyword Collector
(177)
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Conference Pioneer
π₯
Unstoppable Β· Silver
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Century Club Β· Bronze
Top co-authors
Research topics
Deep Learning
(24)
Machine Learning
(23)
Computer Vision
(21)
Analysis
(14)
Artificial Intelligence
(13)
Core AI
(12)
Architectures
(11)
Core Methods
(9)
Learning Types Β· Deep Learning
(9)
Learning Types Β· Machine Learning
(8)
Optimization & Theory Β· Machine Learning
(8)
Application Areas
(6)
Generation
(5)
Optimization & Theory Β· Deep Learning
(5)
Processing
(4)
Keywords
model compression
(7)
image captioning
(5)
neural network
(5)
convolutional neural network
(4)
weakly supervised learning
(4)
object detection
(4)
person re-identification
(4)
vision transformer
(3)
semantic segmentation
(3)
multimodal learning
(3)
feature extraction
(3)
attention mechanism
(3)
feature representation
(2)
neural network optimization
(2)
occlusion handling
(2)
metric learning
(2)
stochastic gradient descent
(2)
image retrieval
(2)
data augmentation
(2)
instance segmentation
(2)
Papers
Visual Textualization for Image Prompted Object Detection
ICCV 2025
Attention Disturbance and Dual-Path Constraint Network for Occluded Person Re-identification
AAAI 2024
Occluded Person Re-identification via Saliency-Guided Patch Transfer
AAAI 2024
RLE: A Unified Perspective of Data Augmentation for Cross-Spectral Re-Identification
NeurIPS 2024
SDPT: Synchronous Dual Prompt Tuning for Fusion-based Visual-Language Pre-trained Models
ECCV 2024
CF-ViT: A General Coarse-to-Fine Method for Vision Transformer
AAAI 2023
Improving Adversarial Robustness via Information Bottleneck Distillation
NeurIPS 2023
OMPQ: Orthogonal Mixed Precision Quantization
AAAI 2023
Towards Real-Time Panoptic Narrative Grounding by an End-to-End Grounding Network
AAAI 2023
Black-Box Dissector: Towards Erasing-Based Hard-Label Model Stealing Attack
ECCV 2022
Dynamic Dual Trainable Bounds for Ultra-Low Precision Super-Resolution Networks
ECCV 2022
Fine-Grained Data Distribution Alignment for Post-Training Quantization
ECCV 2022
Learning Best Combination for Efficient N:M Sparsity
NeurIPS 2022
Aha! Adaptive History-Driven Attack for Decision-Based Black-Box Models
ICCV 2021
Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification
CVPR 2021
Dual-level Collaborative Transformer for Image Captioning
AAAI 2021
HifiFace: 3D Shape and Semantic Prior Guided High Fidelity Face Swapping
IJCAI 2021
Image-to-Image Translation via Hierarchical Style Disentanglement
CVPR 2021
Improving Image Captioning by Leveraging Intra- and Inter-layer Global Representation in Transformer Network
AAAI 2021
Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation
ICCV 2021
RSTNet: Captioning With Adaptive Attention on Visual and Non-Visual Words
CVPR 2021
Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation
CVPR 2021
Channel Pruning via Automatic Structure Search
IJCAI 2020
Interpretable Neural Network Decoupling
ECCV 2020
Rotated Binary Neural Network
NeurIPS 2020
UWSOD: Toward Fully-Supervised-Level Capacity Weakly Supervised Object Detection
NeurIPS 2020
A Part Power Set Model for Scale-Free Person Retrieval
IJCAI 2019
Cyclic Guidance for Weakly Supervised Joint Detection and Segmentation
CVPR 2019
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
CVPR 2019
Learning Neural Bag-of-Matrix-Summarization with Riemannian Network
AAAI 2019
Towards Optimal Discrete Online Hashing with Balanced Similarity
AAAI 2019
Towards Optimal Fine Grained Retrieval via Decorrelated Centralized Loss with Normalize-Scale Layer
AAAI 2019
Universal Adversarial Perturbation via Prior Driven Uncertainty Approximation
ICCV 2019
Variational Structured Semantic Inference for Diverse Image Captioning
NeurIPS 2019
Accelerating Convolutional Networks via Global & Dynamic Filter Pruning
IJCAI 2018
Centralized Ranking Loss with Weakly Supervised Localization for Fine-Grained Object Retrieval
IJCAI 2018
GroupCap: Group-Based Image Captioning With Structured Relevance and Diversity Constraints
CVPR 2018
Cross-Modality Binary Code Learning via Fusion Similarity Hashing
CVPR 2017
Fast and Accurate Neural Word Segmentation for Chinese
ACL 2017
Supervised Matrix Factorization for Cross-Modality Hashing
IJCAI 2016